CompSci & AI Advances is a leading international journal focused on publishing high-quality research and developments in the fields of computer science and artificial intelligence. The journal provides a platform for academics, researchers, and professionals to explore and share innovative ideas, groundbreaking studies, and practical applications that drive the evolution of computing and AI technologies. CompSci & AI Advances has a wide-ranging scope that includes artificial intelligence (AI), computing systems, data science, human-computer interaction, robotics, automation, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), Computer Vision, Autonomous Systems, Edge Computing, AI Ethics, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Big Data Analytics, Robotics, AI-Powered Automation, Data Mining, Generative AI, Artificial General Intelligence (AGI), Human-Computer Interaction (HCI), AI in Healthcare, Cognitive Computing, Explainable AI (XAI), AI-enhanced Software Development, Quantum Computing, Edge Computing, Cloud Computing, 5G Technology, High-Performance Computing (HPC), Parallel Computing, Blockchain Technology, Neuromorphic Computing, Cybersecurity, Internet of Things (IoT), Wearable Computing, Ubiquitous Computing, Green Computing, Solid-State Drives (SSD), Virtualization, Serverless Computing, Distributed Computing, Cryptography, Microprocessors, GPU Acceleration, Data Centers, Energy-Efficient Computing, Optical Computing, Embedded Systems, 3D Integration, Computer Architecture, Augmented Reality (AR), Virtual Reality (VR), cybersecurity, and so on. The journal is committed to advancing knowledge across all disciplines of computers and Artificial intelligence. We emphasize interdisciplinary approaches and contributions that address both theoretical foundations and real-world challenges, while also considering the ethical and societal implications of technological progress. The mission of CompSci & AI Advances is to foster a global exchange of ideas and to bridge the gap between academic research and industry practice, promoting responsible and impactful advancements in AI and computing for the betterment of society.


Volume 1, Issue 1 (March 2024)

Research Articles

Revolutionizing Healthcare Systems with Advanced Deep Learning Integration for Enhanced Health Information Management

Paulchamy B., V. Suresh Babu, A. Purushothaman, Uma Maheshwari, Anbu Karuppusamy, Mohammad Anas, Md. Tabrez Nafis

Summary: This study explores NeuralHealth, a pioneering approach to integrating deep learning into health information systems. By analyzing complex datasets from diverse sources using advanced neural network architectures, NeuralHealth enhances diagnostic accuracy, predicts risks, and personalizes treatments. Preliminary results reveal improvements in patient outcomes, reduced diagnostic errors, and streamlined care delivery. With scalable, privacy-focused frameworks, the study highlights the potential of deep learning to revolutionize healthcare, offering transformative solutions for data management and clinical decision-making.

Revolutionizing Healthcare Systems with Advanced Deep Learning Integration for Enhanced Health Information Management
Research Article | PUBLISHED ONLINE: 01 March 2024

CompSci & AI Advances 1(1), 03-15 (2024)

https://doi.org/10.69626/cai.2024.0003
Adaptive AI Frameworks for Healthcare Optimization: Leveraging Learning-Driven Ecosystems for Personalized Care

Saranya R., Prabu Thangavel, Ahmed Abdu Alattab

Summary: This paper introduces an Adaptive AI Framework designed to optimize healthcare through real-time data analysis and predictive diagnostics. The system integrates diverse datasets, including EHRs and wearable sensor data, to generate personalized care pathways and enable proactive interventions. Case studies in chronic disease management and predictive modeling demonstrate its efficacy in improving patient outcomes, reducing hospital readmissions, and enhancing care efficiency. By consolidating advanced AI technologies into a dynamic, learning-driven ecosystem, the framework represents a transformative leap in modern healthcare delivery.

Adaptive AI Frameworks for Healthcare Optimization: Leveraging Learning-Driven Ecosystems for Personalized Care
Research Article | PUBLISHED ONLINE: 01 March 2024

CompSci & AI Advances 1(1), 16-26 (2024)

https://doi.org/10.69626/cai.2024.0016
Energy–Efficient Adaptive Clustering in Wireless Sensor Networks Using AI–Driven Optimization Algorithms

Hakkem B., Mahendrakan K, Prabu S., Reyazur Rashid Irshad

Summary:

Energy–Efficient Adaptive Clustering in Wireless Sensor Networks Using AI–Driven Optimization Algorithms
Research Article | PUBLISHED ONLINE: 01 March 2024

CompSci & AI Advances 1(1), 38-50 (2024)

https://doi.org/10.69626/csi.2024.0038

Aims and Scope

CompSci & AI Advances
ISSN: xxxx-xxxx

Welcome to CompSci & AI Advances, a distinguished journal devoted to the rapid dissemination of high-quality research in the dynamic fields of computer science and artificial intelligence (AI). Our mission is to create a vibrant forum where researchers, scientists, and industry professionals can present their groundbreaking innovations and transformative discoveries.

At CompSci & AI Advances, we recognize the critical role of interdisciplinary collaboration in driving technological progress and addressing complex global challenges. Our journal serves as a nexus for cutting-edge research that bridges diverse domains, including engineering, data science, medicine, and social sciences, providing a valuable reference for the global research community.

By uniting the expertise of computer scientists, AI practitioners, engineers, ethicists, theorists, and technologists, CompSci & AI Advances fosters a collaborative and inclusive environment. With a focus on both fundamental theories and practical applications, the journal explores emerging technologies, innovative methodologies, and transformative applications that shape the future of AI and computational sciences.

We are committed to advancing knowledge in computer science and AI through the publication of original research articles, comprehensive reviews, and insightful case studies. Our goal is to support the global research community in unlocking the potential of AI and computational innovations, contributing to technological advancement and societal benefit.

We warmly invite researchers and scholars worldwide to contribute to CompSci & AI Advances, sharing their expertise and discoveries to propel the fields of computer science and AI forward.

 

Aims and Scope

CompSci & AI Advances is a multidisciplinary, peer-reviewed journal dedicated to fostering innovation, collaboration, and excellence in the fields of computer science and artificial intelligence (AI). The journal serves as an authoritative platform for disseminating state-of-the-art research, transformative applications, and comprehensive reviews that push the boundaries of knowledge and address real-world challenges. By bridging theoretical advancements and practical implementations, the journal seeks to inspire groundbreaking solutions and interdisciplinary approaches to the most pressing problems in technology and society.

Aim:

The journal aims to bridge the gap between theoretical advancements in computer science and practical applications of artificial intelligence, enabling transformative solutions for complex global challenges. It emphasizes interdisciplinary research and innovative methodologies that drive progress in both fundamental and applied aspects of computing and AI. The journal aims to:

  • Advance Knowledge:Publish high-quality, original research that explores novel theories, frameworks, and methodologies in computer science and AI.
  • Promote Innovation:Highlight cutting-edge technologies, algorithms, and systems that drive the next generation of computational intelligence.
  • Encourage Interdisciplinary Research:Facilitate cross-disciplinary collaboration by welcoming contributions that integrate computer science and AI with fields such as biology, medicine, physics, and social sciences.
  • Bridge Academia and Industry:Showcase applications of AI and computer science in industrial settings, promoting the transition of theoretical concepts into practical solutions.
  • Address Global Challenges:Feature research and applications that leverage computer science and AI to tackle critical issues such as climate change, healthcare, education, and sustainability.

Scope

The journal encompasses a comprehensive range of topics, encouraging submissions across diverse areas of computer science and AI, including but not limited to:

Computer Science Domains

  • Big Data Analytics and Data Mining:Tools and techniques for extracting valuable insights from massive datasets.
  • Human-Computer Interaction (HCI):Innovations in creating user-centric AI applications for enhanced usability and accessibility.
  • Theoretical Computer Science:Foundational research on algorithms, computational complexity, and data structures.
  • Software Engineering:Development of AI-driven software testing, deployment, and maintenance frameworks.

Core Areas in Artificial Intelligence

  • Machine Learning (ML) and Deep Learning:Design, optimization, and applications of ML algorithms, neural networks, reinforcement learning, and unsupervised learning.
  • Natural Language Processing (NLP):Advances in computational linguistics, language modeling, text mining, and speech recognition.
  • Computer Vision:Object detection, image and video analysis, facial recognition, and augmented reality.
  • Knowledge Representation and Reasoning:Development of intelligent systems capable of understanding, interpreting, and reasoning about complex data.

Emerging Technologies and Trends

  • Quantum Computing in AI:Exploration of quantum algorithms and their role in advancing AI capabilities.
  • Edge AI and IoT:AI-driven innovations in edge computing and the Internet of Things for real-time and energy-efficient applications.
  • AI for Cybersecurity:Implementation of AI in detecting, preventing, and mitigating cybersecurity threats.
  • AI Ethics and Fairness:Research addressing the ethical implications of AI, including bias mitigation, fairness, explainability, and trustworthiness.

Application Areas

  • Healthcare:AI in medical diagnostics, personalized medicine, drug discovery, and healthcare management systems.
  • Sustainability:Computational and AI-driven solutions for energy optimization, environmental monitoring, and smart cities.
  • Education:Adaptive learning technologies, intelligent tutoring systems, and AI-powered educational tools.
  • Finance:Predictive modeling, fraud detection, and risk analysis using advanced computational methods.

Authors Benefits

At CompSci & AI Advances, we are dedicated to providing authors with a seamless publishing experience and ensuring their research achieves maximum visibility and impact. Here’s what authors can look forward to when publishing with us:

Rigorous and Expedited Peer-Review Process: We implement a meticulous peer-review system to maintain the highest standards of academic quality and integrity. Our expert reviewers offer constructive feedback to help authors refine their work, ensuring robust and impactful contributions to the field.

Rapid Publication and Broad Dissemination: Accepted articles are published promptly, allowing authors to share their findings without unnecessary delays. Our journal’s wide reach ensures that your research gains visibility among a global audience of academics, industry professionals, and stakeholders.

Immediate Citable Status: Published articles receive an immediate citable status, enabling authors to integrate their work into ongoing research and collaborations without delay.

Open Access Policy: CompSci & AI Advances follows an open access model, granting unrestricted access to all published articles. This approach maximizes the reach and impact of authors’ work, fostering collaboration and knowledge-sharing within the global research community.

Enhanced Article Promotion: We actively promote published works through multiple channels, including academic networks, social media, newsletters, and industry partnerships. This ensures greater visibility and engagement from peers in relevant disciplines.

Global and Continuous Accessibility: Authors and readers benefit from perpetual access to all published content, ensuring that research remains accessible, relevant, and impactful over time.

Exceptional Author Support: Our dedicated support team is available to assist authors at every stage of the publishing process. Whether it’s manuscript submission, peer review, or post-publication inquiries, we provide timely and comprehensive assistance.

No Charges for Color Figures: We do not impose additional fees for color figures and illustrations, allowing authors to present their research visually and effectively at no extra cost.

Recognition and Impact: Publishing with CompSci & AI Advances ensures that your work is part of a reputable platform committed to advancing computer science and AI research. This recognition enhances the credibility and impact of your contributions.

Join Us in Advancing Knowledge: We invite you to publish with CompSci & AI Advances and leverage these benefits to amplify the reach, impact, and quality of your research. Together, we can shape the future of computer science and artificial intelligence.

Subject Covered(but not limited to):

CompSci & AI Advances covers a comprehensive range of topics within the domains of Computer Science and Artificial Intelligence (AI), fostering innovation and exploration in both foundational and applied aspects of these disciplines. The journal welcomes contributions across the following areas and beyond:

Core Computer Science Topics

  • Advanced Algorithms and Data Structures
  • Parallel and Distributed Computing
  • Software Engineering and Development
  • Cybersecurity and Cryptography
  • Human-Computer Interaction
  • High-Performance and Cloud Computing
  • Internet of Things (IoT) and Embedded Systems
  • Computational Theory and Complexity Analysis
  • Digital Signal Processing

Artificial Intelligence and Machine Learning

  • Neural Networks and Deep Learning
  • Reinforcement Learning and Multi-Agent Systems
  • Explainable and Responsible AI
  • Natural Language Processing (NLP) and Computational Linguistics
  • Computer Vision and Image Processing
  • AI for Edge Computing and IoT
  • Transfer Learning and Domain Adaptation
  • AI in Knowledge Representation and Semantic Web

Emerging Technologies and Interdisciplinary Research

  • Quantum Computing and AI
  • Bioinformatics and Computational Biology
  • AI for Sustainable Development and Green Technologies
  • Robotics and Autonomous Systems
  • AI-Driven Simulation and Modeling
  • Blockchain and AI Integration
  • Neuromorphic Computing and Brain-Inspired AI
  • AI Applications in Materials Science and Smart Manufacturing
  • Cognitive Computing and Brain-Computer Interfaces

Applications and Case Studies

  • AI in Healthcare: Diagnostics, Personalized Medicine, and Drug Discovery
  • AI in Education: Adaptive Learning Systems and Educational Analytics
  • AI in Finance: Fraud Detection, Algorithmic Trading, and Risk Assessment
  • Smart Cities and Intelligent Transportation Systems
  • AI for Environmental Monitoring and Climate Change Mitigation
  • Digital Twin Technology and Virtual Reality
  • Ethical AI and AI Governance Frameworks
  • AI in Social Sciences: Behavioral Analysis and Policy Development
  • AI in Precision Agriculture

Innovative Trends in AI

  • Federated Learning and Privacy-Preserving AI
  • Few-Shot and Zero-Shot Learning Techniques
  • Bio-Inspired and Evolutionary Algorithms
  • AI for Multimodal Data Fusion
  • Lifelong Learning and Adaptive AI Systems
  • Generative AI and Creativity
  • AI in Digital Transformation and Industry 4.0
  • Self-Supervised Learning and Unsupervised AI

Special Focus Areas

  • Cross-disciplinary research combining AI with other domains, including neuroscience, economics, linguistics, and materials science.
  • Ethical, societal, and legal implications of AI technologies.
  • Addressing open challenges in AI and Computer Science, including scalability, reliability, and human-centric AI design.
  • Future directions and visionary perspectives in computer science and AI.

CompSci & AI Advances encourages submissions that not only deepen understanding in these areas but also explore the interplay between them to solve complex global challenges and drive technological progress.

Readership

CompSci & AI Advances attracts a diverse and multidisciplinary readership, reflecting the broad scope and profound impact of computer science and artificial intelligence across various sectors. Our audience includes professionals, researchers, and enthusiasts from fields such as computer science, data science, engineering, information technology, robotics, mathematics, electronics, healthcare, environmental science, social sciences, and more.

Our readership spans academic institutions, research organizations, and industries, demonstrating the interdisciplinary and applied nature of AI and computational sciences. Whether from academia, government, or the private sector, our readers rely on CompSci & AI Advances to stay informed about groundbreaking research, innovative methodologies, and transformative applications. By offering cutting-edge insights and fostering collaboration across disciplines, CompSci & AI Advances serves as an indispensable resource for those shaping the future of technology and its applications.

Editorial Board

Coming Soon !!!!!

Guide to Authors

Welcome to CompSci & AI Advances (CAI) ! 

CompSci & AI Advances (CAI) is a premier platform committed to the rapid dissemination of cutting-edge research in the fields of Computer Science and Artificial Intelligence. Our mission is to foster innovation, collaboration, and the exchange of ideas, providing a dynamic space for researchers, scientists, and scholars to showcase their latest discoveries and advancements. By adhering to the highest standards of scientific integrity and excellence, CAI aims to advance the frontiers of knowledge in these transformative disciplines.

To ensure a seamless submission process and uphold our rigorous quality standards, authors are encouraged to review and comply with the following comprehensive guidelines. These instructions are designed to ensure clarity, consistency, and ethical compliance, enhancing the impact and credibility of your research contributions.

Journal Policy

At CompSci & AI Advances (CAI), we prioritize the integrity, originality, and authenticity of published work. Authors are required to adhere to the following journal policies:

Originality and Unpublished Work:

  • Submissions must represent original research that has not been published, in whole or in part, in any format, medium, or language.
  • Manuscripts must not include text, data, figures, or tables that have been previously reported in journals, conferences, or any other publications.

Plagiarism and Attribution:

  • Manuscripts must be free of plagiarism, data fabrication, or improper attribution. Authors are responsible for ensuring that all content is original or properly cited, including figures, tables, and supplementary materials.
  • Any detected instance of plagiarism or unethical practices will result in immediate editorial action, including rejection of the manuscript.

Redundant or Duplicate Submissions:

  • The submission of redundant or duplicate publications is strictly prohibited. Manuscripts based on prior work must provide substantial new contributions and include clear citations to earlier publications.

Copyright Compliance:

  • Authors must ensure their work does not infringe upon existing copyrights. Any use of third-party material must be accompanied by proper permissions and acknowledgments.

Author Responsibilities:

  • The corresponding author must provide a declaration affirming the manuscript’s originality and unpublished status upon submission.
  • Authors must confirm that their work complies with ethical guidelines and does not violate copyright or intellectual property laws.

 

General Information

Types of articles

Journal welcomes the publication of various types of articles:

Original Research Articles: These articles present novel research findings, methodologies, or theoretical frameworks in the field of computer science and artificial intelligence (AI). Original research articles are not restricted by word count, except for the abstract, which must adhere to a 250-word limit. Authors are encouraged to present their content concisely in accordance with the journal’s standards. Original research articles typically include sections such as Introduction, Methods/Experimental Details, Results, Discussion, and Conclusion. Maximum number of allowed figures for Original research articles are 15.

Review Articles: State-of-the-art review articles provide comprehensive summaries and analyses of existing research literature on specific topics within computer science and artificial intelligence (AI). They often offer insights into recent advancements, current trends, and future directions in the field. Review articles have no restrictions on page limits and should include a table of contents. Authors are encouraged to provide biographies and photos for all contributors following the reference section. It is imperative to cite proper references in the captions of all previously published figures, tables, and illustrations, including the authors’ own work. Furthermore, authors must obtain copyright permissions from relevant publishers and authors for the already published figures/tables/texts used in the review article.

Short Communications: Short communications are concise research articles that present significant findings or preliminary results in a brief format. They provide a rapid means of sharing important discoveries with the scientific community. Short communications are concise and should not surpass 2500 words, encompassing elements such as the title page, author affiliations, abstract, keywords, main text, table and figure captions, acknowledgments, and so on. The reference section is excluded from the word count limit. Additionally, short communications should include no more than 20 references.

Perspective Articles: Perspective articles offer personal viewpoints, opinions, or reflections on key issues, debates, or emerging trends in computer science and artificial intelligence (AI). They provide insights from experts in the field and stimulate discussion among researchers. Normally, the perspective articles are invited by the journal editors.

Editorials: Editorials are written by the editorial board or guest editors and provide introductions, commentary, or reflections on the content featured in a specific issue of the journal. They may also highlight important developments or initiatives in the field.

Letters to the Editor: Letters to the editor allow readers to communicate feedback, comments, or questions regarding published articles or other aspects of the journal. They provide a platform for scholarly discourse and engagement with the journal’s content.

 

Subjects Covered (but not limited to):

CompSci & AI Advances aims to foster groundbreaking research that deepens understanding and addresses complex challenges across disciplines, contributing to technological and societal progress. CompSci & AI Advances provides a platform for a wide spectrum of research topics, encompassing foundational, applied, and interdisciplinary studies in Computer Science and Artificial Intelligence (AI). The journal emphasizes innovation, practical applications, and the exploration of emerging technologies to address real-world challenges.

1. Core Computer Science Topics

This section delves into the essential areas of computer science that lay the groundwork for technological advancements:

  • Advanced Algorithms and Data Structures: Development and optimization of algorithms and data structures to solve computational problems efficiently and handle large-scale data.
  • Parallel and Distributed Computing: Research on systems and algorithms for parallel processing and distributed networks, enabling high-performance computing solutions.
  • Software Engineering and Development: Exploration of software lifecycle methodologies, code optimization, and software quality assurance for robust and scalable applications.
  • Cybersecurity and Cryptography: Focus on securing systems, networks, and data through innovative cryptographic techniques and security protocols.
  • Human-Computer Interaction: Investigation into user-centric design principles to improve the usability, accessibility, and engagement of digital systems.
  • High-Performance and Cloud Computing: Studies on scalable computing architectures, virtualization, and resource optimization in cloud environments.
  • Internet of Things (IoT) and Embedded Systems: Design and implementation of smart devices and networks for interconnected systems in various applications.
  • Computational Theory and Complexity Analysis: Examination of the theoretical underpinnings of computation, algorithm complexity, and problem-solving frameworks.
  • Digital Signal Processing: Techniques for processing digital signals in domains such as audio, image, and sensor data.

2. Artificial Intelligence and Machine Learning

The journal emphasizes advancements in AI and machine learning that are shaping the future of technology:

  • Neural Networks and Deep Learning: Cutting-edge techniques for training and optimizing neural networks for diverse tasks, from image recognition to language processing.
  • Reinforcement Learning and Multi-Agent Systems: Development of intelligent agents capable of learning from their environment and cooperating or competing in multi-agent settings.
  • Explainable and Responsible AI: Research on making AI systems transparent, interpretable, and ethically aligned with societal needs.
  • Natural Language Processing (NLP) and Computational Linguistics: Innovations in understanding, generating, and analyzing human language for applications like chatbots and sentiment analysis.
  • Computer Vision and Image Processing: Techniques for visual data analysis, including object detection, facial recognition, and augmented reality.
  • AI for Edge Computing and IoT: Leveraging AI for real-time data processing and decision-making in edge devices and IoT ecosystems.
  • Transfer Learning and Domain Adaptation: Methods for adapting AI models trained on one domain to perform well in another, enhancing efficiency and versatility.
  • AI in Knowledge Representation and Semantic Web: Research on encoding and reasoning about knowledge for semantic applications and intelligent web technologies.

3. Emerging Technologies and Interdisciplinary Research

Advancements at the intersection of AI and emerging technologies are a focal point of the journal:

  • Quantum Computing and AI: Exploration of quantum algorithms and their potential to revolutionize AI computation and data processing.
  • Bioinformatics and Computational Biology: Application of computational methods to analyze biological data, enabling breakthroughs in genomics and personalized medicine.
  • AI for Sustainable Development and Green Technologies: Innovative AI solutions to address environmental challenges and promote sustainability.
  • Robotics and Autonomous Systems: Research on intelligent robots and systems capable of decision-making and independent operation.
  • AI-Driven Simulation and Modeling: Using AI for predictive simulations in fields like climate science, urban planning, and healthcare.
  • Blockchain and AI Integration: Combining blockchain’s decentralized framework with AI for secure and efficient systems.
  • Neuromorphic Computing and Brain-Inspired AI: Development of hardware and algorithms inspired by the human brain for efficient and adaptive computation.
  • AI Applications in Materials Science and Smart Manufacturing: Leveraging AI to design materials with specific properties and optimize manufacturing processes.
  • Cognitive Computing and Brain-Computer Interfaces: Exploring systems that mimic human thought processes and enable direct communication between humans and machines.

4. Applications and Case Studies

Practical applications of AI and computer science in various domains are highlighted:

  • AI in Healthcare: Innovations in diagnostics, personalized treatment, and drug discovery using AI.
  • AI in Education: Adaptive learning platforms and analytics to enhance educational outcomes.
  • AI in Finance: Solutions for fraud detection, risk assessment, and automated trading strategies.
  • Smart Cities and Intelligent Transportation Systems: Deployment of AI to improve urban infrastructure and mobility solutions.
  • AI for Environmental Monitoring and Climate Change Mitigation: Leveraging AI to analyze and mitigate environmental impacts.
  • Digital Twin Technology and Virtual Reality: Creation of virtual replicas for monitoring and optimizing real-world systems.
  • Ethical AI and AI Governance Frameworks: Developing policies and frameworks to ensure ethical use of AI.
  • AI in Social Sciences: Utilizing AI for behavioral analysis, policymaking, and societal impact studies.
  • AI in Precision Agriculture: Enhancing crop yield and resource management using AI-driven technologies.

5. Innovative Trends in AI

The journal explores emerging trends and forward-looking topics in AI research:

  • Federated Learning and Privacy-Preserving AI: Methods to train AI models without compromising user privacy.
  • Few-Shot and Zero-Shot Learning Techniques: Enabling AI to learn tasks with minimal or no labeled data.
  • Bio-Inspired and Evolutionary Algorithms: Algorithms inspired by natural processes for solving complex optimization problems.
  • AI for Multimodal Data Fusion: Combining data from diverse sources for comprehensive analysis.
  • Lifelong Learning and Adaptive AI Systems: Systems capable of continuous learning and adaptation to new challenges.
  • Generative AI and Creativity: Research on AI systems that generate novel content, such as art, music, and text.
  • AI in Digital Transformation and Industry 4.0: Application of AI to modernize industries and improve productivity.
  • Self-Supervised Learning and Unsupervised AI: Techniques for training AI systems without extensive labeled data.

6. Special Focus Areas

To drive innovation, the journal encourages exploration of niche and interdisciplinary topics:

  • Cross-Disciplinary Research: Combining AI with fields like neuroscience, economics, linguistics, and more.
  • Ethical, Societal, and Legal Implications: Examining the broader impacts of AI on society.
  • Addressing Open Challenges in AI: Tackling scalability, reliability, and human-centric design issues.
  • Future Directions in AI and Computer Science: Visionary insights into the evolution of these fields.

 

Quick Guide to Authors

 Welcome to CompSci & AI Advances! Below is a guide to assist authors in preparing and submitting their manuscript:

Manuscript Preparation:

 Language and Style:Manuscripts should be written in clear, concise, and grammatically correct English. Authors are encouraged to seek professional editing services if necessary.

  1. Originality:Ensure the novelty of the manuscript by verifying that it unveils original research findings that have not been previously published or are concurrently under review for publication elsewhere.
  2. Formatting:Follow our formatting guidelines closely. Use the CAI manuscript template available on the journal website to format your submission. Manuscripts should be formatted according to the journal’s template, including font size, style, margins, and line spacing. Include all required sections such as Title, Abstract, Keywords, Introduction, Methods/Experimental details, Results, Discussion, Conclusion, References, and Supplementary Materials (if applicable).
  3. Title and Abstract:Craft a concise and informative title that accurately reflects the content of your manuscript. Provide an abstract summarizing the key findings and significance of your research.
  4. Keywords:Incorporate a set of keywords that succinctly encapsulate the principal subjects and themes explored in your manuscript, facilitating its searchability and indexing.
  5. Introduction:Provide a clear and compelling introduction that outlines the background, objectives, and significance of your research.
  6. Materials and Methods:Describe the materials, experimental setup, and methodologies used in your study in sufficient detail to allow reproducibility by other researchers.
  7. Results and Discussion:Present your results objectively and comprehensively. Interpret the findings and discuss their implications within the context of existing literature.
  8. Figures and Tables:Submit high-quality figures and tables with appropriate captions. Ensure that all visuals are original or properly cited and meet the technical specifications outlined in the submission guidelines.
  9. Conclusions:Concisely outline the primary findings of the research and deliberate on their wider implications.
  10. Ethical Considerations:Ensure compliance with ethical standards, including obtaining necessary approvals for studies involving human participants, animals, or sensitive data. Provide a clear statement of conflict of interest and funding disclosures.
  11. References:Cite relevant literature accurately and consistently. Ensure that all sources are properly cited and listed in the reference section.

Submission Process:

  • Online Submission:Utilize the online submission platform to submit the manuscript, adhering to the guidelines outlined on the website. Make sure to follow the prescribed TEMPLATE for file submission.
  • Cover Letter:Write a brief cover letter introducing your manuscript to the editorial team. Highlight the significance of your research and its contribution to the field of materials science.
  • Manuscript Files:Upload your manuscript files, including the main text, figures, tables, and any supplementary materials, using the online submission system. Make sure to follow the designated TEMPLATE for file submission.

Review Process:

  • Editorial Evaluation:Upon submission, your manuscript will undergo an initial editorial evaluation to ensure that it meets the journal’s criteria for scope, originality, and quality
  • Peer Review Process:If deemed suitable for further consideration, your manuscript will be sent for peer review. Experts in the field will evaluate the scientific merit, methodology, and significance of your research.
  • Reviewer Feedback:You will receive feedback from the peer reviewers, which may include suggestions for revisions or clarifications. Address any comments or concerns raised by the reviewers in a timely manner.

Decision Process:

  • Editorial Decision:Based on the peer reviewers’ feedback and the manuscript’s overall suitability for publication, the editorial team will make a decision regarding acceptance, rejection, or the need for revisions.
  • Notification:You will be notified of the editorial decision via email. If revisions are requested, you will receive detailed instructions on how to address the reviewers’ comments.
  • Revisions (if applicable):Revise your manuscript according to the feedback provided by the peer reviewers and the editorial team. Make sure to submit the revised manuscript within the specified time

Publication Process:

  • Final Approval:Once your revised manuscript is submitted, it will undergo a final review to ensure that all revisions have been addressed satisfactorily.
  • Proofreading:You will receive proofs of your manuscript for final approval before publication. Review the proofs carefully for any errors or inaccuracies.
  • Publication:Upon final approval, your manuscript will be published online in CompSci & AI Advances. You will receive information about the publication date and a link to access your published article.
  • Open Access:CompSci & AI Advances follows an open access policy, making your research freely available to readers worldwide. Your published article will be accessible on the journal’s website, maximizing its impact and visibility in the scientific community.

Submission Checklist

  1. Designate a corresponding author:A corresponding author with full contact details (Email, Phone, Full postal address) should be provided.
  2. Uploaded Files:Ensure that all necessary files have been uploaded, including:
  • Graphical Abstract (Colored graphical figure with short description of the work)
  • Research Highlights (3-5 bullet points)
  • Cover Letter
  • Manuscript file which include
    • Title page including manuscript title, authors names and their affiliations, corresponding author name, email, phone number, and postal address.
    • Abstract
    • Keywords
    • Text
    • Figures with appropriate captions and proper citation inside the main text
    • Tables with appropriate captions and proper citation inside the main text
    • Acknowledgements, if applicable
    • Conflict of Interest Statement
    • Authors contribution statement
    • References (All references should be cited in the main text as mentioned in the reference list)
    • Supplementary files, if applicable.
  • A list of 3 reviewers should be provided who might review the manuscript.
  • Manuscript should be prepared in correct English language. Spell and grammar checked should be done before the submission
  • Permission should be obtained for the copyrighted material from the original source, if applicable.

Manuscript Preparation:

General Information

Language and Submission Method: Manuscripts should be written in English and submitted electronically through our online submission system. This facilitates efficient processing and review.

Formatting Guidelines: Authors should strictly adhere to the journal’s formatting guidelines, available in the Manuscript Template downloadable from our website. These guidelines ensure consistency and adherence to publication standards.

Clarity and Organization: Manuscripts should be concise, well-organized, and written with clarity. This enhances readability and understanding of the research presented, contributing to the overall quality of the publication.

Abbreviations: In instances where abbreviations are not commonly recognized within the field, it is imperative to define them in a footnote on the first page of the article. Additionally, any abbreviations deemed necessary in the abstract should be defined at their initial mention within the abstract itself and reiterated in the footnote. Consistency in the use of abbreviations throughout the article is crucial for clarity and comprehension. Therefore, authors should ensure uniformity in the application of abbreviations across all sections of the manuscript.

Nomenclature and Units: Adhering to internationally accepted rules and conventions is paramount when presenting nomenclature and units within a manuscript. The use of the International System of Units (SI) is strongly recommended. In cases where other units or quantities are referenced, it is essential to provide their equivalents in SI units. Authors are encouraged to consult authoritative sources such as the International Union of Pure and Applied Chemistry (IUPAC) Nomenclature of Organic Chemistry for comprehensive guidance on nomenclature conventions. By following these standards, authors ensure consistency, accuracy, and adherence to established scientific practices.

 Title Page: Each submission should include a title page containing essential information:

Names and Affiliations of All Authors: Provide the full names and institutional affiliations of all contributing authors.

Corresponding Author’s Contact Information: Include the contact details of the corresponding author, such as email address and affiliation. This facilitates communication throughout the submission and review process.

Manuscript Structure

The manuscript structure outlined here provides a systematic framework for organizing and presenting research findings in a clear, coherent, and comprehensive manner. Each section plays a distinct yet interconnected role in communicating the research process, outcomes, and implications to the scientific community.

Title of the Manuscript: The title should accurately reflect the content and focus of the research.

Abstract: A succinct and informative abstract is necessary for any research manuscript. It should succinctly outline the research’s objectives, key findings, and principal conclusions. Since abstracts are often read independently of the full article, they must effectively summarize the study’s essence. Authors should refrain from using non-standard or uncommon abbreviations. If unavoidable, such abbreviations must be defined upon their first mention within the abstract itself to ensure clarity and comprehension. Thus, a concise and informative abstract, not exceeding 250 words, should be included.

Keywords: Authors are encouraged to provide 3-5 keywords below the abstract to facilitate indexing and enhance the discoverability of the manuscript. Carefully selected keywords improve the visibility of the publication in relevant databases and search engines.

Introduction: The introduction serves as the gateway to the research, providing readers with a concise yet comprehensive overview of the study’s background, objectives, and significance. It lays the groundwork for the research by presenting relevant literature, defining the research problem, and clearly stating the study’s aims and objectives. By contextualizing the research within the broader scientific landscape, the introduction sets the stage for the subsequent sections of the manuscript.

Experimental Section: The experimental section provides a detailed account of the materials, methods, and procedures employed in the study. It offers sufficient information to enable reproducibility, allowing other researchers to replicate the experiments and validate the findings. Authors should meticulously describe the experimental setup, including any equipment or instruments used, as well as the procedures followed to collect and analyze data. Clear and precise documentation of the experimental methodology enhances the transparency and credibility of the research.

Results and Discussion: In the results and discussion section, authors present the outcomes of the study and critically analyze their implications. This section is where the research findings are showcased, often through the use of tables, figures, and graphs. Authors should interpret the results in the context of existing literature, highlighting any significant trends, patterns, or deviations observed. Discussion of the findings should delve into their broader implications, addressing how they contribute to advancing scientific knowledge and understanding. This section may also encompass comparisons with previous studies, explanations for unexpected results, and suggestions for future research directions.

Conclusion: The conclusion encapsulates the main findings of the study and emphasizes their significance in relation to the research objectives. It provides a concise summary of the key findings, reiterating the main points discussed in the results and discussion section. Authors may also offer insights into the practical implications of the research and propose avenues for further investigation. By synthesizing the study’s outcomes, the conclusion reinforces the study’s contribution to the field and underscores its relevance and potential impact.

Figures: In the realm of academic publishing, figures serve as vital tools for visually communicating complex data and findings. To ensure their effectiveness, figures should adhere to rigorous standards of quality and clarity. The resolution for all figures should not be less than 300 dpi.

High-Quality Presentation: Figures should be meticulously crafted to uphold a standard of excellence in visual representation. Clear imaging and precise labeling are essential to facilitate comprehension and interpretation by readers. Authors should prioritize the creation of visually appealing and informative figures that enhance the overall professionalism of the manuscript.

File Format and Resolution: Authors must adhere to specific file format and resolution requirements when submitting figures. Figures should be provided in TIFF, JPEG, or EPS format to ensure compatibility with the publication process. Additionally, figures must maintain a minimum resolution of 300 dots per inch (dpi) to guarantee optimal clarity and legibility. Compliance with these standards ensures seamless integration of figures into the manuscript and enhances their visual impact.

Tables: Tables play a fundamental role in organizing and presenting data in a structured and accessible format. Proper formatting and presentation of tables are essential to facilitate understanding and interpretation by readers.

Editability and Format: Authors are advised to ensure that tables are editable and provided in DOC or DOCX format. This enables ease of access and manipulation, allowing for efficient formatting adjustments or updates as necessary. Providing tables in editable formats enhances their usability and facilitates any necessary revisions or modifications during the publication process.

Clarity and Organization: Tables should be meticulously organized and clearly labeled to facilitate easy comprehension by readers. Authors should employ concise and informative table titles and headings, ensuring that data are presented logically and coherently. Clear formatting and consistent use of fonts and styles contribute to the overall professionalism and readability of the tables within the manuscript.

 Reference style: References in the manuscript must adhere to the Harvard style, presented on a dedicated page and numbered in accordance with their appearance in the text. Numerical citations in the text should be enclosed within brackets [ ], corresponding to the sequential order of references listed at the end of the manuscript. The formatting for listing references follows the Harvard Referencing format. Example for the references are as follows:

Journal Articles:

[1] Li, Y., Min, J., Jiang, Y., Dong, T., Xu, D., Feng, Z., Yan, Y., Garoufalis, C.S., Baskoutas, S., Shen, H. and Zeng, Z., 2024. Rational Design of Tetrahedral Derivatives as Efficient Light-Emitting Materials Based on “Super Atom” Perspective. Nano Letters24(10), pp.3237-3242.

Book:

[1] Andrews, D., Nann, T. and Lipson, R.H., 2019. Comprehensive Nanoscience and Nanotechnology. Academic press.

Book Chapters:

[1] Benelmekki, M. and Erbe, A., 2019. Nanostructured thin films–background, preparation and relation to the technological revolution of the 21st century. In Frontiers of Nanoscience (Vol. 14, pp. 1-34). Elsevier.

For Patents:

[1] Rogers, J.A., Rockett, A.A., Nuzzo, R., Yoon, J. and Baca, A., University of Illinois, 2015. Arrays of ultrathin silicon solar microcells. U.S. Patent 9,105,782.

Instructions to prepare Graphical Abstract

Authors are required to submit a graphical abstract along with the manuscript for publication in the journal. A graphical abstract serves as a visual summary of the article, providing readers with a quick overview of the research findings. Below are guidelines on how to prepare a graphical abstract and the limitations for its description:

 

Preparing a Graphical Abstract:

Content: Graphical abstract should highlight the key points of the research, including the main objectives, methodologies, and significant findings.

Design: Preferably, use color to enhance the visual appeal of the graphical abstract. Ensure that the design is clear, concise, and visually engaging.

Size: The maximum dimensions for the graphical abstract should be 4 cm (Height) X 10 cm (Width).

Resolution: Maintain a resolution of at least 300 dots per inch (dpi) to ensure clarity and legibility.

Submission: Submit the graphical abstract as a separate file along with the manuscript during the submission process.

Limitations for the Description of the Graphical Abstract:

Length: The description accompanying the graphical abstract should be concise and limited to a maximum of 20 words.

Content: Focus on conveying the unique aspects and key findings of the research within the limited word count.

Clarity: Ensure that the description provides a clear and accurate summary of the graphical abstract, enabling readers to grasp the essence of the research at a glance.

We encourage authors to adhere to these guidelines to create an effective graphical abstract that complements your manuscript.

 ETHICAL COMPLIANCE: Authors submitting manuscripts to our journal are expected to adhere to high ethical standards throughout the research process. This includes but is not limited to ensuring that the research conducted is in compliance with relevant ethical guidelines and regulations, obtaining necessary approvals from institutional review boards or ethics committees, and obtaining informed consent from participants when applicable. Authors should also disclose any potential conflicts of interest, including sources of funding or any affiliations that may influence the interpretation of the research findings.

Authors Contribution Statement: In the Authors Contribution Statement, authors are required to clearly outline the specific contributions of each individual involved in the research project. This may include conceptualization, methodology, data collection and analysis, writing, editing, and review of the manuscript. Each author should provide a brief description of their role in the study to ensure transparency and accountability in authorship.

Informed Consent Statement: Authors conducting research involving human subjects are obligated to obtain informed consent from participants prior to their involvement in the study. The Informed Consent Statement should detail the procedures followed to obtain consent, including information provided to participants about the purpose of the study, risks and benefits, confidentiality, and their right to withdraw participation at any time. Authors should also specify whether written or verbal consent was obtained and provide assurance that participants’ rights were respected throughout the research process.

Acknowledgements: The Acknowledgements section provides authors with the opportunity to express gratitude to individuals or organizations that contributed to the research project but do not meet the criteria for authorship. This may include funding agencies, research assistants, technical support staff, or colleagues who provided valuable feedback or assistance. Authors should ensure that all individuals acknowledged have granted permission to be included in the Acknowledgements section.

Conflict of Interest: Authors must declare any potential conflicts of interest that could be perceived as influencing the research process or the interpretation of the findings. This may include financial interests, employment affiliations, consulting arrangements, or personal relationships that could bias the results or create the perception of bias. Authors should provide a clear statement indicating any conflicts of interest and describe how they were managed throughout the research process to maintain integrity and objectivity.

Authorship Changes: Authors are strongly advised to carefully deliberate the composition and sequence of authors before submitting their manuscript. The final roster of authors should be furnished upon initial submission. Any modifications to the authorship—whether additions, deletions, or reordering—must be proposed prior to the manuscript’s acceptance and necessitate approval from the Editor. To initiate an authorship change, the corresponding author must furnish the Editor with the following: (a) A comprehensive rationale for the proposed alteration in the author list. (b) Written confirmation, such as an email or letter, from all authors endorsing the addition, removal, or reordering of authors. In cases of additions or removals, consent from the affected author is also mandated. Exceptions to this protocol are granted sparingly. Requests for authorship adjustments post-acceptance will be evaluated by the Editor, albeit only under extraordinary circumstances. Throughout the deliberation process, publication of the manuscript will be temporarily halted. In instances where the manuscript has already been published online, any approved changes will be accompanied by a corrigendum.

Guide for Reviewers and Editors

Welcome to the Instructions for Reviewers for CompSci & AI Advances. As a valued reviewer, your expertise and insights play a crucial role in maintaining the quality and integrity of the journal’s publications. Your thorough evaluation and constructive feedback are instrumental in shaping the direction of scientific discourse in the field of Computer Science and Artificial Intelligence (AI). Below are guidelines to assist you in conducting a comprehensive review of manuscripts submitted to CompSci & AI Advances.

  • Confidentiality: As a reviewer for CompSci & AI Advances, it’s crucial to maintain the confidentiality of the manuscripts you’re assigned to review. This means refraining from discussing the content of the manuscripts with anyone other than the editorial office. By upholding confidentiality, you contribute to the integrity of the peer review process.
  • Timeliness: Time is of the essence in the peer review process. Reviewers are expected to evaluate manuscripts promptly and submit their reports within the specified deadline. If circumstances arise that prevent you from meeting the deadline, it’s important to communicate with the editorial office and request an extension in advance.
  • Constructive Feedback: Reviewers play a pivotal role in providing constructive feedback to authors. When assessing manuscripts, focus on identifying both strengths and weaknesses. Your comments should be specific, objective, and aimed at helping authors improve their work. Point out areas where the manuscript excels and areas where it could be enhanced.
  • Originality and Ethical Standards: Evaluate the originality of the research presented in the manuscript and ensure that it meets ethical standards. Verify that proper citations are provided for previously published work and assess whether the research has been conducted in accordance with ethical guidelines and regulations.
  • Content Evaluation: Dive deep into the content of the manuscript and evaluate its significance, novelty, and scientific rigor. Scrutinize the methodology used, the interpretation of results, and the contribution the research makes to the field. Your evaluation should be thorough and objective, focusing on the scientific merit of the work.
  • Clarity and Presentation: Assess the clarity and organization of the manuscript. Consider factors such as the writing style, structure, and coherence of the presentation. Provide feedback on how the manuscript could be improved to enhance clarity and readability for readers.
  • Recommendation: Based on your evaluation, make a recommendation regarding the manuscript’s fate—whether it should be accepted, revised, or rejected. Justify your recommendation with specific comments and suggestions for improvement. Your recommendation will be instrumental in guiding the editorial decision-making process.
  • Conflicts of Interest: Be transparent about any potential conflicts of interest that may influence your review. If you have personal or professional connections to the authors or their research, disclose them to the editorial office. If you feel that a conflict of interest may compromise your impartiality, notify the editorial office immediately.
  • Respectful Communication: Maintain professionalism and respect in all communications related to the peer review process. Avoid personal or derogatory remarks and focus solely on the scientific content of the manuscript. Your goal is to provide feedback that is helpful and constructive, regardless of your recommendation.
  • Final Decision: Your review will be considered alongside those of other reviewers by the editorial team to make a final decision on the manuscript. Your feedback is invaluable in ensuring the quality and integrity of the research published in CompSci & AI Advances. Thank you for your dedication to the peer review process.

Guide to Editors: CompSci & AI Advances

Welcome to the comprehensive Guide to Editors for CompSci & AI Advances. As an editor for our esteemed journal, your pivotal role revolves around ensuring the quality, integrity, and timely dissemination of groundbreaking research within the realm of Computer Science and Artificial Intelligence (AI). This detailed guide is designed to equip you with the necessary instructions and best practices to navigate the editorial process with proficiency and efficacy. Your dedication and commitment as an editor are invaluable to the success and reputation of CompSci & AI Advances.

Editorial Workflow:

  • Your initial task involves the meticulous assignment of suitable reviewers, drawing upon their expertise and availability to ensure thorough and insightful assessments.
  • Efficiently manage the peer review process by overseeing the timely completion of reviews and judiciously evaluating reviewer comments to make informed editorial decisions.
  • Maintain proactive communication with authors throughout the review process, providing updates, guidance, and constructive feedback as required.
  • Thoughtfully evaluate the feedback provided by reviewers and exercise sound judgment in determining manuscript acceptance, revision, or rejection, upholding the journal’s standards of excellence.

Manuscript Handling:

  • Uphold the journal’s submission guidelines rigorously, ensuring that submitted manuscripts adhere to formatting requirements and ethical standards.
  • Conduct a comprehensive initial assessment of manuscripts to ascertain their suitability for peer review, considering factors such as novelty, relevance, and scientific rigor.
  • Effectively manage revisions and resubmissions, facilitating productive interactions between authors and reviewers to address queries, concerns, or suggestions for improvement.
  • Strive for consistency and rigor in the editorial process, upholding the journal’s reputation for scholarly excellence and integrity.

Ethical Considerations:

  • Familiarize yourself thoroughly with the journal’s policies on plagiarism, authorship, conflicts of interest, and ethical conduct, ensuring strict adherence to established guidelines.
  • Promptly address any instances of ethical misconduct or concerns, conducting impartial investigations and implementing appropriate measures in accordance with established procedures.
  • Maintain the utmost confidentiality throughout the editorial process, safeguarding the anonymity of reviewers and respecting the privacy of authors to uphold the integrity of the peer review process.

Collaboration and Communication:

  • Foster a collaborative and supportive environment conducive to constructive dialogue and scholarly exchange among authors, reviewers, and editorial board members.
  • Encourage open communication and facilitate constructive feedback to foster continuous improvement in manuscript quality and scientific rigor.
  • Serve as a liaison between authors and reviewers, facilitating effective communication and resolution of any conflicts or misunderstandings that may arise during the editorial process.

Continuous Improvement:

  • Stay abreast of the latest developments and advancements in the field of Computer Science and Artificial Intelligence (AI)and scholarly publishing, adapting editorial practices to reflect evolving standards and expectations.
  • Solicit feedback from authors, reviewers, and colleagues to identify areas for improvement and implement changes that enhance the efficiency, transparency, and effectiveness of the editorial process.
  • Strive for continuous improvement in all aspects of editorial management, contributing to the enhancement of the journal’s reputation and impact within the scientific community.

Publication Ethics

At CompSci & AI Advances, published by Ariston Publications, we uphold the highest ethical standards in scientific publishing to ensure the integrity, credibility, and trustworthiness of the research we disseminate. Our commitment to ethical practices extends across all stages of the publication process, from manuscript submission to post-publication dissemination. Our publication ethics policies are designed to guide authors, reviewers, editors, and all stakeholders involved in the publishing process. Adherence to these ethical principles is paramount to maintain transparency, fairness, and trust in scholarly communication.

1. Authorship and Author Responsibilities:Authors are expected to adhere to the following ethical principles:

 Authorship Criteria:

  • Authorship eligibility hinges upon significant contributions to conceiving, designing, executing, or interpreting the research study.
  • All contributors with substantial involvement in the work merit authorship recognition, while those offering support or assistance without meeting authorship criteria should be acknowledged accordingly.
  • Authors are required to reveal any potential conflicts of interest that could impact the research process or the interpretation of the results.

Originality and Plagiarism:

  • Authors bear the responsibility of verifying the originality of their work and confirming that it has not been previously published or is under consideration elsewhere for publication.
  • Any form of plagiarism, including self-plagiarism, is unacceptable and will lead to immediate rejection or retraction.
  • Any form of plagiarism, whether it involves directly copying text, ideas, or data without appropriate acknowledgment, is strictly forbidden.
  • Editors utilize plagiarism detection software to screen submitted manuscripts and address any suspected cases of plagiarism promptly.

Conflict of Interest:

  • Authors must reveal any potential conflicts of interest that might impact the research process or the interpretation of the results.
  • This includes financial interests, employment affiliations, consulting arrangements, or personal relationships.

Data Integrity:

  • Authors bear the responsibility of verifying the accuracy and integrity of their data, presenting research findings with honesty and transparency.
  • Studies involving human subjects, animals, or sensitive data must adhere to ethical guidelines and obtain the requisite approvals and permissions.
  • Fabrication, falsification, or manipulation of data is considered unethical and constitutes scientific misconduct.

 2. Peer Review Process:

  • Reviewers must uphold the confidentiality of the peer review process and refrain from sharing any details about the manuscript or their assessment with unauthorized individuals without permission from the journal.
  • Peer review is conducted with fairness.
  • Reviewers are expected to conduct their evaluations impartially and offer constructive feedback aimed at enhancing the manuscript’s quality.
  • Reviewers should declare any potential conflicts of interest and evaluate manuscripts objectively, focusing solely on their scientific quality.
  • Editors oversee the peer review process to ensure its integrity and rigor, avoiding bias or favoritism.

3. Editorial Responsibilities:

 Editorial Integrity:

  • Editors uphold the integrity and quality of the editorial process, maintaining objectivity and impartiality in decision-making.
  • Manuscripts are evaluated based on their scientific quality, significance, originality, and methodological rigor, without discrimination based on factors such as race, gender, religion, region, or institutional affiliation.

 Conflict of Interest:

Editors are responsible for managing conflicts of interest transparently and impartially, ensuring that they do not compromise the integrity of the editorial process.

Transparency:

Editors should ensure transparency in the publication process by clearly communicating the editorial policies, peer review process, and any conflicts of interest.

4. Post-Publication Concerns:

Corrections and Retractions:

  • Authors, editors, and publishers are responsible for promptly addressing errors or inaccuracies in published articles, issuing corrections, clarifications, or retractions as necessary.
  • Corrections are published promptly to rectify errors and maintain the integrity of the scientific record.

Ethical Concerns:

Any concerns about ethical issues, such as research misconduct or violations of publication ethics, will be thoroughly investigated by the journal and appropriate actions will be taken.

5. Compliance with Policies and Guidelines:

All stakeholders are expected to comply with the journal’s policies, guidelines, and ethical standards, as well as relevant regulatory requirements and best practices in scholarly publishing.

Indexing and Abstracting

CompSci & AI Advances, while currently not indexed, is actively working towards being indexed in prominent databases and directories relevant to materials science and related fields. Our aim is to ensure that the valuable research published in CompSci & AI Advances reaches a wide audience of scholars, researchers, and practitioners in the field. We are in the process of applying for indexing in key databases and directories to enhance the visibility and discoverability of articles published in our journal. Stay tuned for updates as we progress in our efforts to expand the indexing coverage of CompSci & AI Advances, thereby increasing its impact and reach within the scientific community.

Article Processing Charges

At present, there are no article processing charges (APCs) associated with publishing in CompSci & AI Advances. As an open-access journal, all articles are published free of cost to authors. The publisher covers the expenses incurred in the publication process, allowing authors to disseminate their research without any financial burden. There are no fees for submission, processing, or publication of articles in CompSci & AI Advances. This approach ensures equitable access to scientific knowledge and supports the dissemination of research findings across the global scientific community.

Special Issues

CompSci & AI Advances welcomes proposals for special issues that align with the journal’s aims, scope and objectives. Special issues provide an opportunity to delve into specific topics or emerging areas within Computer Science and Artificial Intelligence (AI) and related fields, offering a focused platform for in-depth exploration and discussion.

If you have a proposal for a special issue, please submit it to the editorial office for consideration. Your proposal should include a brief outline of the proposed topic, its significance and relevance to the field, potential contributors, and a proposed timeline for publication.

Once your proposal is received, it will undergo careful evaluation by the editorial team to assess its suitability for publication in CompSci & AI Advances. If approved, you will be invited to serve as a guest editor or co-editor for the special issue, working closely with the editorial team to oversee the review and publication process.

We look forward to receiving your proposals and collaborating with you to bring forth exciting and impactful special issues for our readership.

Please submit the special issue proposal at: info@aristonpubs.com

Conferences

CompSci & AI Advances welcomes the opportunity to collaborate with organizers of conferences, symposiums, and workshops to publish special issues or proceedings featuring research articles presented at these events.

If you are organizing a conference or similar academic gathering and wish to publish selected research papers in CompSci & AI Advances, we encourage you to reach out to our editorial office with your proposal. Your proposal should include details such as the theme and scope of the conference, the number of anticipated submissions, and a proposed timeline for publication.

Upon receiving your proposal, our editorial team will review it carefully to assess its alignment with the journal’s scope and objectives. If approved, we will work closely with you to facilitate the submission and review process for the conference papers, ensuring timely publication in a dedicated special issue or proceeding.

By publishing conference-related research in CompSci & AI Advances, authors can benefit from the journal’s wide readership and open access model, maximizing the visibility and impact of their work within the Computer Science and Artificial Intelligence (AI) community. We look forward to the opportunity to collaborate with you on showcasing cutting-edge research from your conference in our journal.

Article in Press

Current Issue

Energy–Efficient Adaptive Clustering in Wireless Sensor Networks Using AI–Driven Optimization Algorithms

Hakkem B., Mahendrakan K, Prabu S., Reyazur Rashid Irshad

Summary:

Energy–Efficient Adaptive Clustering in Wireless Sensor Networks Using AI–Driven Optimization Algorithms
Research Article | PUBLISHED ONLINE: 01 March 2024

CompSci & AI Advances 1(1), 38-50 (2024)

https://doi.org/10.69626/csi.2024.0038